Cover Image

RxSafeBench: Identifying Medication Safety Issues of Large Language Models in Simulated Consultation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Jiahao, Xu, Luxin, Tan, Minghuan, Zhang, Lichao, Argha, Ahmadreza, Alinejad-Rokny, Hamid, Yang, Min
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare
by: Zhu, Jingwei, et al.
Published: (2024)

Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
by: Sadeghi, Alireza, et al.
Published: (2025)

ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance
by: Shamsi, Afshar, et al.
Published: (2024)

Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation
by: Chen, Dingwei, et al.
Published: (2025)

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics
by: Ivan Bakhshayeshi, et al.
Published: (2026)

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics
by: Zahedi, Roxana, et al.
Published: (2025)

Lower Layers Matter: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused
by: Chen, Dingwei, et al.
Published: (2024)

STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation
by: Li, Jiaming, et al.
Published: (2025)

Structuring Reasoning for Complex Rules Beyond Flat Representations
by: Yang, Zhihao, et al.
Published: (2025)

xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking
by: Lee, Sunbowen, et al.
Published: (2025)

Small Language Model as Data Prospector for Large Language Model
by: Ni, Shiwen, et al.
Published: (2024)

PLOT: Enhancing Preference Learning via Optimal Transport
by: Zhu, Liang, et al.
Published: (2026)

SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation
by: Zhao, Jiahao, et al.
Published: (2026)

InteractWeb-Bench: Can Multimodal Agent Escape Blind Execution in Interactive Website Generation?
by: Wang, Qiyao, et al.
Published: (2026)

Transcriptomic Models for Immunotherapy Response Prediction Show Limited Cross-cohort Generalisability
by: Liang, Yuheng, et al.
Published: (2026)

How chromatin interactions shed light on interpreting non-coding genomic variants: opportunities and future direc-tions
by: Liang, Yuheng, et al.
Published: (2024)

Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
by: Javed, Syed, et al.
Published: (2024)

Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates
by: Li, Shuaimin, et al.
Published: (2025)

Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification
by: Asgharnezhad, Hamzeh, et al.
Published: (2025)

Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation
by: Safdar, Moin, et al.
Published: (2025)

PersonaMath: Boosting Mathematical Reasoning via Persona-Driven Data Augmentation
by: Luo, Jing, et al.
Published: (2024)

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection
by: Xu, Ancheng, et al.
Published: (2025)

SafeRx-Agent: A Knowledge-Grounded Multi-Agent Framework for Safe and Explainable Medication Recommendation
by: Wang, Xinyu, et al.
Published: (2026)

PatRe: A Full-Stage Office Action and Rebuttal Generation Benchmark for Patent Examination
by: Wang, Qiyao, et al.
Published: (2026)

NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models
by: Xu, Ancheng, et al.
Published: (2024)

MeasHalu: Mitigation of Scientific Measurement Hallucinations for Large Language Models with Enhanced Reasoning
by: Huang, Ruijun, et al.
Published: (2026)

Beyond Quantity: Trajectory Diversity Scaling for Code Agents
by: Chen, Guhong, et al.
Published: (2026)

AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents
by: Chen, Guhong, et al.
Published: (2024)

RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning
by: Chen, Yukun, et al.
Published: (2026)

Quantification of Large Language Model Distillation
by: Lee, Sunbowen, et al.
Published: (2025)

MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models
by: Han, Tessa, et al.
Published: (2024)

SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models
by: Ying, Zonghao, et al.
Published: (2024)

PediatricAnxietyBench: Evaluating Large Language Model Safety Under Parental Anxiety and Pressure in Pediatric Consultations
by: Zolfaghari, Vahideh
Published: (2025)

MedConsultBench: A Full-Cycle, Fine-Grained, Process-Aware Benchmark for Medical Consultation Agents
by: Qiao, Chuhan, et al.
Published: (2026)

A Diagnostic Model for Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methods
by: Rahmani, Amir Masoud, et al.
Published: (2024)

Training Superior Sparse Autoencoders for Instruct Models
by: Li, Jiaming, et al.
Published: (2025)

FlowPIE: Test-Time Scientific Idea Evolution with Flow-Guided Literature Exploration
by: Wang, Qiyao, et al.
Published: (2026)

CLaSp: In-Context Layer Skip for Self-Speculative Decoding
by: Chen, Longze, et al.
Published: (2025)

ToolRM: Towards Agentic Tool-Use Reward Modeling
by: Li, Renhao, et al.
Published: (2025)

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records
by: Zhao, Shuguang, et al.
Published: (2025)